American Sociological Association



The search found 129 results in 0.027 seconds.

Search results

  1. Cities and the Creative Class

    Cities and regions have long captured the imagination of sociologists, economists, and urbanists. From Alfred Marshall to Robert Park and Jane Jacobs, cities have been seen as cauldrons of diversity and difference and as fonts for creativity and innovation. Yet until recently, social scientists concerned with regional growth and development have focused mainly on the role of firms in cities, and particularly on how these firms make location decisions and to what extent they concentrate together in agglomerations or clusters.

  2. Neoliberalism

    Johanna Bockman unpacks a hefty term, neoliberalism. She cites its roots and its uses, decoding it as a description of a “bootstraps” ideology that trumpets individualism and opportunity but enforces conformity and ignores structural constraints.

  3. The Positive Consequences of Negative Stereotypes: Race, Sexual Orientation, and the Job Application Process

    How do marginalized social categories, such as being black and gay, combine with one another in the production of discrimination? While much extant research assumes that combining marginalized social categories results in a “double disadvantage,” I argue that in the case of race and sexual orientation the opposite may be true. This article posits that stereotypes about gay men as effeminate and weak will counteract common negative stereotypes held by whites that black men are threatening and criminal.

  4. Nonlinear Autoregressive Latent Trajectory Models

    Autoregressive latent trajectory (ALT) models combine features of latent growth curve models and autoregressive models into a single modeling framework. The development of ALT models has focused primarily on models with linear growth components, but some social processes follow nonlinear trajectories. Although it is straightforward to extend ALT models to allow for some forms of nonlinear trajectories, the identification status of such models, approaches to comparing them with alternative models, and the interpretation of parameters have not been systematically assessed.
  5. Comment: Bayes, Model Uncertainty, and Learning from Data

    The problem of model uncertainty is a fundamental applied challenge in quantitative sociology. The authors’ language of false positives is reminiscent of Bonferroni adjustments and the frequentist analysis of multiple independent comparisons, but the distinct problem of model uncertainty has been fully formalized from a Bayesian perspective.
  6. We Ran 9 Billion Regressions: Eliminating False Positives through Computational Model Robustness

    False positive findings are a growing problem in many research literatures. We argue that excessive false positives often stem from model uncertainty. There are many plausible ways of specifying a regression model, but researchers typically report only a few preferred estimates. This raises the concern that such research reveals only a small fraction of the possible results and may easily lead to nonrobust, false positive conclusions. It is often unclear how much the results are driven by model specification and how much the results would change if a different plausible model were used.
  7. Comparing Regression Coefficients Between Same-sample Nested Models Using Logit and Probit: A New Method

    Logit and probit models are widely used in empirical sociological research. However, the common practice of comparing the coefficients of a given variable across differently specified models fitted to the same sample does not warrant the same interpretation in logits and probits as in linear regression. Unlike linear models, the change in the coefficient of the variable of interest cannot be straightforwardly attributed to the inclusion of confounding variables. The reason for this is that the variance of the underlying latent variable is not identified and will differ between models.

  8. Terror, Terrorism, Terrorists

    The terms terror, terrorism, and terrorist do not identify causally coherent and distinct social phenomena but strategies that recur across a wide variety of actors and political situations. Social scientists who reify the terms confuse themselves and render a disservice to public discussion. The U.S. government's own catalogs of terrorist events actually support both claims.

  9. Visualizing Africa’s Educational Gender Gap

    This figure depicts the gendered patterns of educational expansion across Africa. The horizontal axis displays educational access, and vertical lines represent educational gender gaps for 267 country-specific birth cohorts, representing adults born between 1941 and 1992 in 32 African countries. The gaps take on an almond shape. In early stages of educational expansion, boys enter school at higher rates than girls; female enrollment begins to catch up only when at least half of the cohort attends school.
  10. The Impact of Racial Diversity in the Classroom: Activating the Sociological Imagination

    Diverse college campuses have been conclusively associated with a variety of positive outcomes for all students. However, we still know very little empirically about how student diversity directly impacts the core task of the university: classroom learning. While students vary based on race along a broad spectrum of experiences and backgrounds, we have yet to establish how those varying backgrounds might impact the ways students engage with course material.